University of Technology Sydney

36104 Data Visualisation and Narratives

8cp; 7 on campus sessions: 7 x 3hrs (evening session 6–9pm); plus online activities throughout the non-campus weeks; availability: Master of Data Science and Innovation students only
Requisite(s): 48 credit points of completed study in 48.0000000000 Credit Points spk(s): C04379 Master of Business Analytics (Extension)
These requisites may not apply to students in certain courses. See access conditions.

Requisite elaboration/waiver:

Any student wishing to enrol in first- and second-year subjects concurrently, needs to apply for a waiver.


Postgraduate

Notes

This subject requires attendance at the evening and Saturday sessions, which form important parts of assessed work.

Description

This subject engages students in the power of narrative and visualisation as 'person-centred’ methods for sense making around data. Students explore a range of techniques and tools for visualising different types of data, that could include medical, open government, accounting, business, scientific, satellite, and historical data as a means of generating new insights. Students experiment with and evaluate different methods for communicating insights to a range of stakeholders and domain experts in a chosen field. Through investigating different narrative approaches to 'tell the story', students hone their skills to succinctly and persuasively communicate descriptions of phenomena studied in the data set as well as confidently justify their findings.

Typical availability

Autumn session, City campus


Detailed subject description.

Access conditions

Note: The requisite information presented in this subject description covers only academic requisites. Full details of all enforced rules, covering both academic and admission requisites, are available at access conditions and My Student Admin.